Volkswagen Financial Services Canada Looking for Collections Data Analytics Specialist – North American Region at Ontario, Canada Full Time

As the captive finance company of the Audi, Ducati and Volkswagen brands in Canada, Volkswagen Financial Services (VWFS) offers a wide range of leasing, retail financing and protection plans expertly tailored to meet the needs of our customers. Additionally, we provide commercial financing products to Audi, Ducati, and Volkswagen Dealers.

VWFS is seeking individuals from diverse professional backgrounds who can bring fresh perspectives and ideas to help us drive forward in the ever-evolving financial and mobility services industry. As we continue to grow, we are excited to welcome talent from a variety of professional backgrounds to join our team. We believe in the power of diversity and inclusion, as it fuels creativity, fosters innovation, and strengthens our ability to serve our customers better. Are you a forward-thinker, a problem-solver, or an innovator? This is an opportunity to be part of a dynamic team that values diversity, creativity, and collaboration.

Role Summary

The Data Analytics Specialist – Collections utilizes analytical and statistical methods to identify opportunities to continuously drive improvements in collections effectiveness. The Specialist is responsible for reporting on the effectiveness of collections strategies. And works within VWFS’s risk management framework to identify and pursue opportunities that enhance the collectability of impaired assets by improving the decision tools, treatments and contact strategies used within the collections processes. The Specialist will also have experience in strategy analytics, meaning drawing business insights from data and applying critical thinking in support of business goals.

Role Responsibilities

Main responsibility – Operational 60 % of time spent

• Support Collections Department strategy, analytics, and reporting for early-stage collections. Early-stage collections includes X-59+ collections support, specifically vendor activity (collections accounts placed with vendors), In-House predictive dialer and early stage manual collections.
• Assist Strategy Manager with the development and deployment of performance monitoring dashboards and skills assessment reporting in collaboration with other members of Service Center Operations.
• Monitor and report on late-stage collections and process. Including post charge off recoveries.
• Monitor and report on fraud performance (committed and recovered), working closely with the Fraud team.
• Support in the preparation and presentation of a comprehensive quarterly Credit Committee package. Using rigorous analysis and monitoring to connect drivers of future consumer credit trends to historical behavior, provide recommendations and solutions to business leaders in response to the identification of new and existing risks and drive remediation when control metrics are outside of targets.
• Utilize analytic tools (i.e. SAS, SQL, Tableau, Python, R) data query tools to build, test, evaluate, and maintain robust data analysis and reporting for collections teams to make timely, informed decisions.
• Develop A/B tests and pilots and oversee the overall quantitative testing strategy for collections.
• Analyze data and create and validate assumptions that feed into volume, growth, headcount and profitability strategies.
• Drive analytics to enhance understanding of collections data across VWFS
• Risk scorecard understanding and analysis including; cut-off analysis, score-based portfolio segmentation, profitability analysis and the monitoring of scorecards

Additional responsibilities – Strategic 40% of time

• Collaborate with members of Risk Management and Service Center Operations to identify areas where quantitative analysis and modeling is required to improve business performance
• Educate colleagues on proper statistical principles and methodology; sell ideas and conclusions in a clear, concise manner to colleagues with limited statistical background
• Collaborate across Consumer Risk group to ensure initiatives are aligned with the established risk appetite
• Identify areas of opportunity where data science can improve business results or increase process efficiency; demonstrate effective planning, research and implementation of statistical models
• Effectively communicate risk performance and strategies throughout the business at all levels.
• Provide portfolio performance based reports that support the lease and loan asset backed securities transactions as directed by the Treasury department.

Experience

• 5-7 years of professional experience
• 3+ years in utilizing methods and tools to extract, curate, explore, and analyze data from large data sources
• 3+ years in developing decision science algorithms
• 2+ years in the fundamentals of big data
• 1-2 years working in a Predictive Analytics or Statistical Modeling-related role
• At least one (1) year of banking or credit risk experience

Education

Required –

• Bachelor’s Degree in a quantitative discipline: Statistics, Mathematics, Economics, Finance, Operations Research

Desired –

• Master’s degree in Statistics, Finance, Computer Science, Economics or Operations Research or similar quantitative STEM field
• Additional certifications in data sciences or analytics related fields

General Skills

• Ability to conduct large scale projects and research through all stages: concept formulation, definition of metrics, determination of appropriate methodology, research evaluation and final research report
• Demonstrated understanding and experience with relational datasets, data warehouses, data mining and data analysis techniques
• Ability to effectively communicate technical subjects to business stakeholders and audience who have limited background in mathematics or statistics
• Analytical and conceptual thinking – ability to understand business problems and develop data-driven solutions
• Embrace, research, explore, and enable new quantitative techniques and technologies in credit risk that will help define VWFS as an industry leader in this area.
• Passion for data analytics and problem solving

Specialized Skills

Required –

• Working knowledge of basic statistical analyses including regression analysis, time series forecasting and other multi-variate analyses
• Well versed in methods and tools to extract, curate, explore, and analyze data from large data sources (e.g. SQL, SAS, Python, R).
• Ability to work effectively across portfolio risk teams and functional areas teams
• Extensive experience in the fundamentals of data/analytics algorithms and data structures
• Advanced knowledge in model back-testing, validation, and ability to know when a model has degraded beyond the original expected outcomes
• Building, improving or analyzing risk management in consumer lending or similar data driven industries like insurance
• Experience gaining insights from U.S. credit bureau data, Risk Scorecards and ability to pay quantification methods
• Strong communication and presentation skills targeting a variety of audiences
• Proficiency with Microsoft Office applications

Desired –

• Advanced knowledge of applied statistical methodologies.
• Advanced knowledge of machine learning (ML) approaches to influence business decisions (SAS, Spark, Azure, TensorFlow)

Work Flexibility

• Minimal travel – 5%
• Role may require occasional/seasonal work outside of normal working hours.

Why Join VWFS?

Floaters Days: We understand the importance of work-life balance, which is why we offer floaters days that can be used at your discretion for personal reasons or to recharge. We’ve included these days to be inclusive of holidays or celebrations that are that are important to employees. This allows you to commemorate whatever might be important to you.

Company Designated Holidays: In addition to offering floaters days, we also recognize the importance of celebrating the holiday season with our team. That’s why we designate specific company holidays during the Christmas break, ensuring our employees can enjoy this festive time. *Schedules may vary depending on the specific needs of certain parts of our business.

Health Insurance Coverage: We provide comprehensive insurance coverage, including health, dental, and vision plans, to ensure our employees and their families are well-protected and have access to quality healthcare services.

Retirement Plans & Savings: Planning for the future is important, which is why we offer competitive defined contribution retirement plan at no cost to the employee to help our employees save for their long-term financial goals. In addition, we have a generous savings matching program.

Wellness Programs: We care about the holistic well-being of our employees, which is why we offer various wellness programs designed to promote physical, mental, and emotional health. These may include gym memberships, mental health resources, and more.

Employee Discounts: As part of the Volkswagen family, employees may also have access to special discounts on Volkswagen vehicles, leasing options, and other automotive services.

Work Environment: Our workplace sets the standard with its state-of-the-art facility, designed to inspire creativity and productivity. We believe in fostering an environment where our employees feel empowered to do their best work, and our flexible hybrid policy reflects our commitment to accommodating diverse work styles and needs.

Volkswagen Financial Services is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, family status, gender identity, gender expression, national origin, age, disability or any other characteristic protected by federal, or local laws.

Volkswagen Financial Services is committed to accommodating applicants and employees with disabilities. Should you require an accommodation during the recruitment and selection process please advise in advance.